- 5+ years of relevant cloud, DevOps, SRE or platform engineering experience, including real production application infrastructure work for SaaS or comparable cloud-native software platforms
- Strong hands-on AKS/Kubernetes experience running production applications — deployments, ingress, services, scaling, cluster operations and troubleshooting. Lab-only experience is not sufficient.
- Practical Microsoft Azure skills, especially infrastructure supporting containerised APIs, services and application deployments
- Deep Azure networking knowledge — DNS, load balancing, private and public connectivity, certificates, network security
- Hands-on CI/CD, Docker, deployment automation and setting management working with application development teams
- Experience with infrastructure-as-code and scripting — comfortable making repeatable changes through reviewed configuration rather than manual portal work
- Ability to diagnose production problems using application and infrastructure logs, metrics, alerts and structured troubleshooting
- Sound fundamentals in identity, RBAC,



secrets, encryption, backups and secure cloud configuration
- Familiarity with cloud storage, database connectivity, caching and availability. Specialist DBA expertise is not required.
- Experience operating Azure AI Foundry / OpenAI model deployments and endpoints
- Familiarity with Document Intelligence, AI Search, OCR, embeddings and secure AI integrations
- Ability to troubleshoot AI service availability, latency, quota, security and cost issues
- Methodical execution — planning changes, checking impact, documenting work, following established processes, owning issues through resolution
- Clear, concise communication; raises blockers early, coordinates during incidents, accepts accountability for assigned outcomes

Pay: ₹1,500,000.00 - ₹2,500,000.00 per year

Benefits

- Health insurance
- Leave encashment
- Paid sick time
- Provident Fund

Work Location: In person

📌 Cloud Engineer (Ahmedabad)
🏢 EMP Claim Solutions
📍 Ahmedabad